SAS-like acoustic color processing for a single-hydrophone sonar platform

N. Wachowski, M. Azimi-Sadjadi, R. Holtzapple
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引用次数: 1

Abstract

This paper addresses the problem of using sonar data collected with a single-hydrophone to generate synthetic aperture sonar (SAS)-like images that display acoustic color information. Our previously-developed SAS-like acoustic color processing typically applies a coherence analysis framework to channels formed using the data of two hydrophone subarrays. Application of this method to single-hydrophone data requires significant modifications to the original framework since a synthetic aperture must be formed over the data from different pings, and hence a different approach to forming the data channels must be used. For this study, data collected using a single hydrophone mounted on a moving rail system that captures a buried underwater object from multiple aspects is used. The images generated by applying both a more conventional omega-k SAS and the revised SAS-like acoustic color processing methods to this data are evaluated based on their ability to provide information useful for detection, identification, and localization of objects.
单水听器声纳平台的类sas声学颜色处理
本文研究了利用单水听器采集的声呐数据生成显示声颜色信息的类合成孔径声呐(SAS)图像的问题。我们之前开发的类似sas的声学颜色处理通常对使用两个水听器子阵列的数据形成的通道应用相干分析框架。将这种方法应用于单水听器数据需要对原始框架进行重大修改,因为必须在来自不同ping的数据上形成合成孔径,因此必须使用不同的方法来形成数据通道。在这项研究中,使用安装在移动轨道系统上的单个水听器收集的数据,该系统从多个方面捕获被掩埋的水下物体。通过对这些数据应用更传统的ω -k SAS和修订后的类SAS声学颜色处理方法生成的图像,根据它们提供检测、识别和定位物体有用信息的能力进行评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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